IDEAS home Printed from https://ideas.repec.org/a/hin/jnlmpe/3154683.html
   My bibliography  Save this article

Fixed Points and Exponential Stability for Impulsive Time-Delays BAM Neural Networks via LMI Approach and Contraction Mapping Principle

Author

Listed:
  • Ruofeng Rao
  • Zhilin Pu
  • Shouming Zhong
  • Xinggui Li

Abstract

The fixed point technique has been employed in the stability analysis of time-delays bidirectional associative memory (BAM) neural networks with impulse. By formulating a contraction mapping in a product space, a new LMI-based exponential stability criterion was derived. Lately, fixed point methods have educed various good results inspiring this work, but those criteria cannot be programmed by a computer. In this paper, LMI conditions of the obtained result can be applicable to computer Matlab LMI toolbox which meets the need of the large-scale calculation in real engineering. Moreover, a numerical example and a comparable table are presented to illustrate the effectiveness of the proposed methods.

Suggested Citation

  • Ruofeng Rao & Zhilin Pu & Shouming Zhong & Xinggui Li, 2016. "Fixed Points and Exponential Stability for Impulsive Time-Delays BAM Neural Networks via LMI Approach and Contraction Mapping Principle," Mathematical Problems in Engineering, Hindawi, vol. 2016, pages 1-8, October.
  • Handle: RePEc:hin:jnlmpe:3154683
    DOI: 10.1155/2016/3154683
    as

    Download full text from publisher

    File URL: http://downloads.hindawi.com/journals/MPE/2016/3154683.pdf
    Download Restriction: no

    File URL: http://downloads.hindawi.com/journals/MPE/2016/3154683.xml
    Download Restriction: no

    File URL: https://libkey.io/10.1155/2016/3154683?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:hin:jnlmpe:3154683. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Mohamed Abdelhakeem (email available below). General contact details of provider: https://www.hindawi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.